Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

4 January 2018

Pieter Abbeel

Papers citing "Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor"

50 / 1,680 papers shown

Title
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation Zhehua Zhou Jiayang Song Xuan Xie Zhan Shu Lei Ma Dikai Liu Jianxiong Yin Simon See 37 15 0 31 Jul 2023
Rating-based Reinforcement Learning Devin White Mingkang Wu Ellen R. Novoseller Vernon J. Lawhern Nicholas R. Waytowich Yongcan Cao ALM 24 6 0 30 Jul 2023
Reinforcement Learning by Guided Safe Exploration Qisong Yang T. D. Simão N. Jansen Simon Tindemans M. Spaan OffRL OnRL 38 5 0 26 Jul 2023
Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning Wei Shi Milad Ganjalizadeh H. S. Ghadikolaei M. Petrova AI4CE 11 2 0 25 Jul 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning Kaiwen Wang Junxiong Wang Yueying Li Nathan Kallus Immanuel Trummer Wen Sun GP 64 2 0 21 Jul 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization Xiangsen Wang Haoran Xu Yinan Zheng Xianyuan Zhan OffRL 45 23 0 21 Jul 2023
Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games Jonas Gillberg Joakim Bergdahl Alessandro Sestini Andy Eakins Linus Gisslén OffRL 33 7 0 19 Jul 2023
Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning Hoang-Giang Cao I. Lee Bo-Jiun Hsu Zheng-Yi Lee Yu-Wei Shih Hsueh-Cheng Wang I-Chen Wu 39 2 0 17 Jul 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning Hongyu Ding Yuan-Yan Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang 49 5 0 16 Jul 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 43 3 0 16 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 43 18 0 15 Jul 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 38 5 0 13 Jul 2023
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning S. E. Ada Erhan Öztop Emre Ugur OffRL 56 15 0 10 Jul 2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning Outongyi Lv Bingxin Zhou OffRL 49 0 0 05 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 28 25 0 05 Jul 2023
Is Risk-Sensitive Reinforcement Learning Properly Resolved? Ruiwen Zhou Minghuan Liu Kan Ren Xufang Luo Weinan Zhang Dongsheng Li 27 2 0 02 Jul 2023
Human-like Decision-making at Unsignalized Intersection using Social Value Orientation Yan Tong Licheng Wen Pinlong Cai Daocheng Fu Song Mao Yikang Li 46 2 0 30 Jun 2023
AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization Maziar Gomrokchi Owen Levin Jeffrey Roach Jonah White OffRL 35 1 0 21 Jun 2023
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback Hang Wang Sen Lin Junshan Zhang 29 19 0 20 Jun 2023
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication Adam Callaghan Karl Mason Patrick Mannion 39 2 0 20 Jun 2023
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards Semih Cayci A. Eryilmaz 36 2 0 20 Jun 2023
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions Nishil Patel Sebastian Lee Stefano Sarao Mannelli Sebastian Goldt Adrew Saxe OffRL 41 3 0 17 Jun 2023
Active Policy Improvement from Multiple Black-box Oracles Xuefeng Liu Takuma Yoneda Chaoqi Wang Matthew R. Walter Yuxin Chen 50 9 0 17 Jun 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 35 13 0 15 Jun 2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control M. Malmir Josip Josifovski Noah Klarmann Alois C. Knoll 48 2 0 15 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control Tom Dupuis Jaonary Rabarisoa Q. C. Pham David Filliat 49 0 0 14 Jun 2023
Curricular Subgoals for Inverse Reinforcement Learning Shunyu Liu Yunpeng Qing Shuqi Xu Hongyan Wu Jiangtao Zhang Jingyuan Cong Tianhao Chen Yunfu Liu Mingli Song 43 1 0 14 Jun 2023
Self-Paced Absolute Learning Progress as a Regularized Approach to Curriculum Learning Tobias Niehues Ulla Scheler Pascal Klink 37 0 0 09 Jun 2023
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach Diego Patiño Siddharth Mayya J. Calderon Kostas Daniilidis David Saldaña 32 3 0 07 Jun 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 48 32 0 06 Jun 2023
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning Andreas Schlaginhaufen Maryam Kamgarpour 34 10 0 01 Jun 2023
Preference-grounded Token-level Guidance for Language Model Fine-tuning Shentao Yang Shujian Zhang Congying Xia Yihao Feng Caiming Xiong Mi Zhou 34 23 0 01 Jun 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 41 9 0 29 May 2023
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms Peiyao Xiao Hao Ban Kaiyi Ji 48 19 0 28 May 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 41 1 0 28 May 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets Dinghuai Zhang H. Dai Nikolay Malkin Aaron Courville Yoshua Bengio L. Pan 43 36 0 26 May 2023
Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays Lucy McCutcheon Saber Fallah 38 0 0 26 May 2023
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback Tom Bewley J. Lawry Arthur G. Richards 32 1 0 26 May 2023
Reward-Machine-Guided, Self-Paced Reinforcement Learning Cevahir Köprülü Ufuk Topcu 31 3 0 25 May 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 39 11 0 25 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 56 10 0 25 May 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 27 18 0 23 May 2023
RLBoost: Boosting Supervised Models using Deep Reinforcement Learning Eloy Anguiano Batanero Ángela Fernández Pascual Á. Jiménez OffRL 18 0 0 23 May 2023
Constrained Reinforcement Learning for Dynamic Material Handling Chengpeng Hu Ziming Wang Jialin Liu J. Wen Bifei Mao Xinghu Yao 24 0 0 23 May 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice Toshinori Kitamura Tadashi Kozuno Yunhao Tang Nino Vieillard Michal Valko ... Olivier Pietquin M. Geist Csaba Szepesvári Wataru Kumagai Yutaka Matsuo OffRL 35 3 0 22 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning Long Yang Zhixiong Huang Fenghao Lei Yucun Zhong Yiming Yang Cong Fang Shiting Wen Binbin Zhou Zhouchen Lin DiffM 46 40 0 22 May 2023
Road Planning for Slums via Deep Reinforcement Learning Y. Zheng Hongyuan Su Jingtao Ding Depeng Jin Yong Li 19 13 0 22 May 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models Matteo Biagiola Paolo Tonella 46 19 0 22 May 2023
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching Yecheng Jason Ma K. Sivakumar Jason Yan Osbert Bastani Dinesh Jayaraman OffRL MU 37 6 0 22 May 2023
Deep Reinforcement Learning-Based Control for Stomach Coverage Scanning of Wireless Capsule Endoscopy Yameng Zhang Long Bai Li Liu Hongliang Ren Max Q.-H. Meng 32 9 0 18 May 2023